Identifying causal relationships is an important aspect of research and evaluation in visitor studies, such as making claims about the learning outcomes of a program or exhibit. Experimental and quasi-experimental approaches are powerful tools for addressing these causal questions. However, these designs are arguably underutilized in visitor studies. In this article, we offer examples of the use of experimental and quasi-experimental designs in science museums to aide investigators interested in expanding their methods toolkit and increasing their ability to make strong causal claims about
Although discussions of museums often revolve around exhibits, educators in these spaces have the potential to create in-depth, social learning experiences beyond what is possible at exhibits alone. There is still little empirical research, however, to inform how we understand, approach, and improve museum facilitation practices. In this study, we sought to address this gap by quantifying the impact of facilitation by trained educators working with visitors at interactive museum exhibits and comparing this to visitor engagement and learning outcomes for families without educator support. Using
The purpose of this study was to explore whether the notion of activity frames might be a useful alternative to sociomathematical norms to help describe the behaviors of family members at interactive math exhibits. In this study, activity frames are defined as contextspecific, emergent understandings or expectations, either implicit or explicit, about the nature and goals of family and staff interactions at math exhibits (Pattison et al., in review; Pattison, Gontan, & Ramos-Montañez, in review). Researchers questioned not only whether activity frames could describe family behaviors, but also
Staff facilitators in museums and science centers are a critical but often overlooked component of the visitor experience. Despite assertions about the important role they play in visitor learning, there continues to be almost no research to understand staff facilitation in these settings or identify effective practices. To address these gaps, we conducted a design-based research study to describe the work of experienced museum educators and iteratively refine a model of staff facilitation to support family learning at interactive math exhibits developed through a prior project. The resulting
As the world is increasingly dependent upon computing and computational processes associated with data analysis, it is essential to gain a better understanding of the visualization technologies that are used to make meaning of massive scientific data. It is also essential that the infrastructure, the very means by which technologies are developed for improving the public's engagement in science itself, be better understood. Thus, this AISL Innovations in Development project will address the critical need for the public to learn how to interpret and understand highly complex and visualized scientific data. The project will design, develop and study a new technology platform, xMacroscope, as a learning tool that will allow visitors at the Science Museum of Minnesota and the Center of Science and Industry, to create, view, understand, and interact with different data sets using diverse visualization types. The xMacroscope will support rapid research prototyping of public experiences at selected exhibits, such as collecting data on a runner's speed and height and the visualized representation of such data. The xMacroscope will provide research opportunities for exhibit designers, education researchers, and learning scientists to study diverse audiences at science centers in order to understand how learning about data through the xMacroscope tool may inform definitions of data literacy. The research will advance the state of the art in visualization technology, which will have broad implications for teaching and learning of scientific data in both informal and formal learning environments. The project will lead to better understanding by science centers on how to present data to the public more effectively through visualizations that are based upon massive amounts of data. Technology results and research findings will be disseminated broadly through professional publications and presentations at science, education, and technology conferences. The project is funded by the Advancing Informal STEM Learning (AISL) program, which seeks to advance new approaches to, and evidence-based understanding of, the design and development of STEM learning in informal environments. This includes providing multiple pathways for broadening access to and engagement in STEM learning experiences, advancing innovative research on and assessment of STEM learning in informal environments, and developing understandings of deeper learning by participants. The project is driven by the assumption that in the digital information age, being able to create and interpret data visualizations is an important literacy for the public. The research will seek to define, measure, and advance data visualization literacy. The project will engage the public in using the xMacrocope at the Science Museum of Minnesota and at the Center of Science and Industry's (COSI) science museum and research center in Columbus, Ohio. In both museum settings the public will interact with different datasets and diverse types of visualizations. Using the xMacroscope platform, personal attributes and capabilities will be measured and personalized data visualizations will be constructed. Existing theories of learning (constructivist and constructionist) will be extended to capture the learning and use of data visualization literacy. In addition, the project team will conduct a meta-review related to different types of literacy and will produce a definition with performance measures to assess data visualization literacy - currently broadly defined in the project as the ability to read, understand, and create data visualizations. The research has potential for significant impact in the field of science and technology education and education research on visual learning. It will further our understanding of the nature of data visualization literacy learning and define opportunities for visualizing data in ways that are both personally and culturally meaningful. The project expects to advance the understanding of the role of personalization in the learning process using iterative design-based research methodologies to advance both theory and practice in informal learning settings. An iterative design process will be applied for addressing the research questions by correlating visualizations to individual actions and contributions, exploring meaning-making studies of visualization construction, and testing the xMacroscope under various conditions of crowdedness and busyness in a museum context. The evaluation plan is based upon a logic model and the evaluation will iteratively inform the direction, process, and productivity of the project.
Researching the Value of Educator Actions for Learning (REVEAL) is an NSF-funded research project, led by the Oregon Museum of Science and Industry (OMSI) in collaboration with TERC and Oregon State University (OSU), which studied the impact of science center staff facilitation strategies at math exhibits. Building on and using exhibits from Design Zone—an interactive math exhibition which engaged visitors in exploring algebraic relationships and functions—the study was designed to add to the scant existing literature about the impact of staff facilitation on visitors. The study also aimed to
The REVEAL project is an NSF funded project to learn about how facilitation impacts family’s experiences of math exhibits. The goal of the project was to iteratively develop and refine a theoretical model of how staff facilitation deepens and extends family mathematical discourse at interactive exhibits. This model underwent rigorous testing and ultimately provided the evidence and research-based tools to support PD efforts for informal STEM educators. As part of this testing the learnings from developing at OMSI (Oregon Museum of Science and Industry, in Portland, Oregon) were applied in an
This poster was presented at the 2016 Advancing Informal STEM Learning (AISL) PI Meeting held in Bethesda, MD on February 29-March 2. REVEAL is using a two-phase research design, including a phase 1 design-based research study followed by a phase 2 experimental study, to investigate and measure the impact of staff facilitation on family mathematical discourse at exhibits and identify factors that influence the outcomes of these interactions. The project has an emphasis on culturally responsive research and education approaches.
In this article, science center and museum professionals from around the world share ways that they are engaging visitors in hands-on innovation. Work from the following organizations are discussed: Exploratorium, Discovery Center of Idaho, Lawrence Hall of Science, Iridescent, Conner Prairie Interactive History Park, Ideum, Discovery Place, Ontario Science Centre, Bootheel Youth Museum, Science Centre Singapore, Children's Museum of Phoenix, Discovery Museums (Acton, MA), Discovery Center of Springfield, Missouri, Museum of Science, Boston, Questacon--The National Science and Technology
This pathways project will study how audiences in public spaces, in this case those in a museum setting, relate to and make sense of large data displays. The project is preliminary to development of a traveling, hands-on exhibition enabling users to create and utilize representations of big data displays such as maps and charts. As the test case, the project will use science maps that provide an overview of science generally and specific areas of STEM, charting and exploring the history and future of science and technology. The data collection portion of the project will take place at the New York Hall of Science, the Marian Koshland Science Museum, COSI in Columbus, Ohio, and WonderLab Museum in Bloomington, Indiana. The project will create a foundation for the design of museum exhibits and educational programs that teach museum visitors how to explore, engage and make better sense of big data. The project is potentially transformative because big data is becoming ubiquitous and making sense out of large data displays is necessary in order to understand big data sets.
Research in experimental and developmental psychology, cognitive science, and neuroscience, suggests that tool fluency depends on the merging of perceptual and motor aspects of its use, an achievement we call perceptuomotor integration. We investigate the development of perceptuomotor integration and its role in mathematical thinking and learning. Just as expertise in playing a piano relies on the interanimation of finger movements and perceived sounds, we argue that mathematical expertise involves the systematic interpenetration of perceptual and motor aspects of playing mathematical
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Ricardo NemirovskyMolly KeltonBohdan Rhodehamel
This multiplatform media and science center project is designed to engage audiences in humanity's deepest questions like the nature of love, reality, time and death in both scientific and humanistic terms. Project deliverables include 5 hour-long radio programs for broadcast on NPR stations, public events/museum exhibits at the Exploratorium in San Francisco, kiosks in venues throughout the city, and a social media engagement campaign. The audience of the project is large and diverse using mass media and the internet. But the project will specifically target young, online, and minority audiences using various strategies. The project is designed to help a diverse audience understand the impact of new scientific developments as well as the basic science, technology, engineering and math needed to be responsible, informed citizens. Innovative elements of the project include the unique format of the radio programs that explore complex topics in an engaging and compelling way, the visitor engagement strategy at the Exploratorium, and the social media strategy that reaches niche audiences who might never listen to the radio broadcasts, but find the podcasts and blogs engaging. The Exploratorium will be opening a new building in 2013 and will include exhibits and programs that are testing grounds for this project. This is a new model that aligns the radio content with exhibitions, social media, and in person events at the Exploratorium, providing a unique holistic approach. The project is designed to inspire people to think and talk about science and want to find out more. The evaluation will measure the impacts on the targeted audiences reached by each of the key delivery methods. Data will be collected using focus groups; intercept interviews with people in public places, and longitudinal panels. The focus will be on 5 targeted audiences (young adults, families with children, non-NPR listeners, underrepresented minorities, and adults without college experience). This comprehensive evaluation will likely contribute important knowledge to the field based on this multiple-platform collaborative model.